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Investigation for Face and Object Identification from a digital image |
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| รหัสดีโอไอ | |
| Creator | 1. Kiattisak Sritrakulchai 2. Pajarath Samuthsorn 3. Warun Suethong 4. Nitikorn Boonsatit |
| Title | Investigation for Face and Object Identification from a digital image |
| Publisher | Faculty of Engineering, Khon Kaen Univeristy |
| Publication Year | 2556 |
| Journal Title | KKU Engineering Journal |
| Journal Vol. | 40 |
| Journal No. | 3 |
| Page no. | 385-395 |
| Keyword | Image recognition,Wavelet transform,Principal component analysis,Object identification |
| ISSN | 0125-8273 |
| Abstract | The quality investigation on complex detail accuracy of an object by using the human vision in a long time is limited on the fatigue, memory ability and skill. This research proposes the rapid simple and economical investigation system for a complex detail object on a 2D digital image by using the wavelet transform and 2D principal component analysis, 2DPCA. The six discriminated factors for the human face and object identification are wavelet type, wavelet level, picture characteristic, size of the picture, number of eigenvector and number of database. The experimental results from the suitably factor settings with the level 1 of Haar-wavelet transform, head shots, 100*100 pixel resolution size, 5 eigenvector and 8 database indicate 100 percent accuracy of the human face or object identification investigation and 98.75 percent average of every number of eigenvectors for the human face identification. |
